# Ausbildung.de Scraper (`shinobi_sp/shinobi-ausbildung-de-scraper`) Actor

Extract German apprenticeship & Duales Studium listings from Ausbildung.de with direct recruiter emails, phone numbers, contact persons, apprentice salaries, degree requirements, and full descriptions. Fast, clean, and exportable to JSON, CSV, or Excel.

- **URL**: https://apify.com/shinobi_sp/shinobi-ausbildung-de-scraper.md
- **Developed by:** [Yassir Chakour](https://apify.com/shinobi_sp) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: 5.00 out of 5 stars

## Pricing

from $0.00005 / actor start

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## 🇩🇪 Ausbildung.de Scraper (with Direct Recruiter Contacts & Salaries) 👨‍🏫🔍

Looking for apprenticeship and vocational training (*Ausbildung* & *Duales Studium*) opportunities across Germany?

The **Shinobi Ausbildung.de Scraper** extracts rich, production-ready apprenticeship listings from [Ausbildung.de](https://www.ausbildung.de) — complete with **direct recruiter emails, phone numbers, contact persons, salary ranges, diploma requirements, and full descriptions**.

Fast, clean, and ideal for students, recruiters, HR tech platforms, and education analysts! 📊

***

### ⚡ Why Choose This Scraper Over Others?

Most generic scrapers on the store only scrape the search result cards. **They miss all contact information and full job descriptions!**

Here is how we compare:

| Feature | Shinobi Scraper | Other Scrapers ($19.49/mo) |
| :--- | :---: | :---: |
| ✉️ **Direct Recruiter Emails** | ✅ **YES** | ❌ None |
| 📞 **Recruiter Phone Numbers** | ✅ **YES** | ❌ None |
| 👤 **Contact Person Names** | ✅ **YES** | ❌ None |
| 💰 **Apprentice Salary (1st/2nd/3rd Yr)** | ✅ **YES** | ❌ None |
| 📝 **Full Job Description (Clean Text + HTML)** | ✅ **YES** | ❌ None |
| 🎓 **Graduation Requirements (Schulabschluss)** | ✅ **YES** | ✅ Yes |
| ⏳ **Apprenticeship Duration & Start Date** | ✅ **YES** | ✅ Yes |
| 🔗 **Direct Employer / ATS Application Link** | ✅ **YES** | ⚠️ Slug only |
| 🏷️ **Price** | 🟢 **$12.50 / month** | 🔴 $19.49 / month |

***

### 🔍 Fields Extracted

Every record pushed to the Apify dataset contains:

| Field | Type | Description |
| :--- | :--- | :--- |
| `title` | `string` | Apprenticeship position title |
| `corporationName` | `string` | Name of the hiring company |
| `subsidiaryName` | `string` | Name of the subsidiary company (if applicable) |
| `location` | `string` | City / location of the opportunity |
| `street` | `string` | Street address (if provided) |
| `postalCode` | `string` | Postal code |
| `state` | `string` | German state / region |
| `contactEmail` | `string` | Direct HR recruiter or company email |
| `contactPhone` | `string` | Recruiter contact phone number |
| `contactPerson` | `string` | Recruiter name (*Frau / Herr ...*) |
| `applicationUrl` | `string` | Direct external application portal or listing URL |
| `applicationType` | `string` | Application method (`email` or `portal`) |
| `expectedGraduation` | `string` | Required education level (*e.g. "Realschulabschluss", "Abitur"*) |
| `apprenticeshipType` | `string` | Type of program (*e.g. "Klassische duale Berufsausbildung"*) |
| `duration` | `string` | Duration of program (*e.g. "3 Jahre", "24 Monate"*) |
| `startsNoEarlierThan`| `string` | Earliest start date (*e.g. "01.08.2025"*) |
| `baseSalary` | `object` | Base salary / apprentice compensation (*min, max, currency*) |
| `vacancyCount` | `integer`| Number of open positions |
| `corporationLogo` | `string` | Employer logo URL |
| `professionTitle` | `string` | Official occupation classification |
| `directApplicationOn`| `boolean`| Whether direct 1-click application is active |
| `topRatedEmployer` | `boolean`| Whether the company is top-rated |
| `slug` | `string` | Official listing slug |
| `requirements` | `string` | Formatted degree & skill requirements |
| `description` | `string` | Full cleaned plaintext description |
| `rawHtmlDescription`| `string` | Original HTML description |
| `dedupHash` | `string` | Unique SHA-256 fingerprint for deduplication |

***

### 📥 Input Parameters

| Field | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `keywords` | `array` | `["Fachinformatiker"]` | Apprenticeship titles or keywords to search for. Multiple keywords run sequentially. |
| `place` | `string` | `"Berlin"` | City or postal code in Germany. Leave empty for nationwide search. |
| `radius` | `integer`| `50` | Search radius in km around the city (0 to 500). |
| `max_items_per_keyword` | `integer` | `50` | Max listings to extract per keyword. |
| `sort_by` | `string` | `"relevance"` | Sorting criteria: `"relevance"`, `"date"` (latest first), or `"distance"`. |
| `delay` | `number` | `1.0` | Polite delay in seconds between HTTP requests. |
| `proxyConfiguration` | `object` | `{ "useApifyProxy": false }` | Apify Proxy configuration (residential or datacenter). |

#### Example Input JSON

```json
{
  "keywords": [
    "Fachinformatiker",
    "Koch"
  ],
  "place": "Berlin",
  "radius": 50,
  "max_items_per_keyword": 20,
  "sort_by": "relevance",
  "delay": 1.0
}
```

***

### 📤 Example Output JSON

```json
{
  "title": "Auszubildende Fachinformatiker*innen (w/m/d)",
  "corporationName": "Freie Universität Berlin",
  "location": "Berlin",
  "street": "Kaiserswerther Str. 16-18",
  "postalCode": "14195",
  "state": "Berlin",
  "contactEmail": "ausbildungsleitung@fu-berlin.de",
  "contactPhone": "+49 30 838 54321",
  "contactPerson": "Frau Müller",
  "applicationUrl": "https://www.interamt.de/koop/app/stelle?id=1502844",
  "applicationType": "email",
  "expectedGraduation": "Mittlere Reife",
  "apprenticeshipType": "Klassische duale Berufsausbildung",
  "duration": "3 Jahre",
  "startsNoEarlierThan": "01.09.2025",
  "baseSalary": {
    "@type": "MonetaryAmount",
    "minValue": 1086,
    "maxValue": 1240,
    "currency": "EUR"
  },
  "vacancyCount": 5,
  "corporationLogo": "https://www.ausbildung.de/uploads/image/fu-berlin.png",
  "professionTitle": "Fachinformatiker/in für Systemintegration",
  "directApplicationOn": true,
  "topRatedEmployer": true,
  "slug": "auszubildende-fachinformatiker-innen-fu-berlin-1502844",
  "requirements": "Mittlere Reife, Gute Noten in Mathematik und Englisch",
  "description": "Die Freie Universität Berlin sucht zum 01.09.2025 motivierte Auszubildende...",
  "dedupHash": "8f3b21841a3465fd53c95516b49ddfb82aa9a3d664"
}
```

***

### 🐍 How to Run via Python API

```python
from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run_input = {
    "keywords": ["Fachinformatiker"],
    "place": "Berlin",
    "radius": 50,
    "max_items_per_keyword": 25,
    "sort_by": "relevance"
}

## Run the Actor and wait for completion
run = client.actor("shinobi_sp/shinobi-ausbildung-de-scraper").call(run_input=run_input)

## Fetch results from dataset
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"{item['title']} at {item['corporationName']} | Contact: {item['contactEmail']}")
```

***

### 💳 Pricing

- **Subscription:** **$12.50 / month** (Unlimited runs within platform usage limits).
- High performance, lightweight HTTP fetching, zero browser overhead.

# Actor input Schema

## `keywords` (type: `array`):

List of apprenticeship titles or keywords to scrape (e.g. Fachinformatiker, Koch, Mechatroniker).

## `place` (type: `string`):

City or postal code in Germany (e.g. Berlin, Hamburg, München). Leave empty for nationwide.

## `radius` (type: `integer`):

Distance radius around the specified city in kilometers.

## `max_items_per_keyword` (type: `integer`):

Maximum number of apprenticeship listings to extract per keyword.

## `sort_by` (type: `string`):

Sorting criteria for listings.

## `delay` (type: `number`):

Delay between requests to avoid rate limits.

## `proxyConfiguration` (type: `object`):

Select proxy settings. Apify Proxy with datacenter or residential IPs is supported.

## Actor input object example

```json
{
  "keywords": [
    "Fachinformatiker"
  ],
  "place": "Berlin",
  "radius": 50,
  "max_items_per_keyword": 50,
  "sort_by": "relevance",
  "delay": 1,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `results` (type: `string`):

Apprenticeship vacancies extracted from Ausbildung.de with recruiter contacts

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "keywords": [
        "Fachinformatiker"
    ],
    "place": "Berlin"
};

// Run the Actor and wait for it to finish
const run = await client.actor("shinobi_sp/shinobi-ausbildung-de-scraper").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "keywords": ["Fachinformatiker"],
    "place": "Berlin",
}

# Run the Actor and wait for it to finish
run = client.actor("shinobi_sp/shinobi-ausbildung-de-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "keywords": [
    "Fachinformatiker"
  ],
  "place": "Berlin"
}' |
apify call shinobi_sp/shinobi-ausbildung-de-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,shinobi_sp/shinobi-ausbildung-de-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/vDIpd3LcYTSi1nb5F/builds/8RSgTrqhVFgnN6Lgh/openapi.json